Neural Nets

Table of Contents

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   Book Overview
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   Chapter 1 Nonparametric Hidden Markov Models: Principles and Applications to Speech Recognition
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   Chapter 2 Cooperative Games in a Stochastic Environment
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   Chapter 3 Lattice Models for Context-Driven Regularization in Motion Perception
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   Chapter 4 On the Dynamics of Scale-Free Boolean Networks
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   Chapter 5 A Deterministic Learning Approach Based on Discrepancy
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   Chapter 6 An Hybrid Neural/Genetic Approach to Continuous Multi-objective Optimization Problems
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   Chapter 7 An Algorithm to Model Paradigm Shifting in Fuzzy Clustering
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   Chapter 8 ANFIS Synthesis by Hyperplane Clustering for Time Series Prediction
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    Chapter 9 Generalized Splitting 2D Flexible Activation Function
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    Chapter 10 Face Localization with Recursive Neural Networks
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    Chapter 11 Multi-class Image Coding via EM-KLT Algorithm
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    Chapter 12 A Face Detection System Based on Color and Support Vector Machines
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    Chapter 13 A Neural Architecture for 3D Segmentation
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    Chapter 14 Automatic Polyphonic Piano Music Transcription by a Multi-classification Discriminative-Learning
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    Chapter 15 An Adaptive Learning Algorithm for ECG Noise and Baseline Drift Removal
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    Chapter 16 Towards an Automatic Lesion Segmentation Method for Dual Echo Magnetic Resonance Images Using an Ensemble of Neural Networks
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    Chapter 17 A Probabilistic Neural Networks System to Recognize 3D Face of People
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    Chapter 18 Dereverberation of Acoustic Signals by Independent Component Analysis
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    Chapter 19 Supervised and Unsupervised Analysis Applied to Strombolian E.Q.
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    Chapter 20 Intracranial Pressure Signal Processing by Adaptive Fuzzy Network
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    Chapter 21 Soft Computing Techniques for Classification of Bronze Age Axes
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    Chapter 22 Environmental Risk and Territorial Compatibility: A Soft Computing Approach
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    Chapter 23 Neural Network Approach for Estimation and Prediction of Time to Disruption in Tokamak Reactors
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    Chapter 24 A Concurrent Neural Classifier for HTML Documents Retrieval
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    Chapter 25 Bayesian Modelling for Packet Channels
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    Chapter 26 Neural Networks for Photometric Redshifts Evaluation
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    Chapter 27 Prediction of Signal Peptide in Proteins with Neural Networks
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    Chapter 28 Proteomic Profiling of Inherited Breast Cancer: Identification of Molecular Targets for Early Detection, Prognosis and Treatment, and Related Bioinformatics Tools
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    Chapter 29 Browsing Large Pedigrees to Study of the Isolated Populations in the “Parco Nazionale del Cilento e Vallo di Diano”
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    Chapter 30 Monitoring of Car Driving Awareness from Biosignals
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    Chapter 31 Markov Analysis of Protein Sequence Similarities
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    Chapter 32 Divergence Projections for Variable Selection in Multi–layer Perceptron Networks
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    Chapter 33 Large Scale Prediction of Protein Interactions by a SVM-Based Method
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    Chapter 34 Gene Selection Using Random Voronoi Ensembles
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    Chapter 35 QSAR/QSPR Studies by Kernel Machines, Recursive Neural Networks and Their Integration
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    Chapter 36 An Application of Low Bias Bagged SVMs to the Classification of Heterogeneous Malignant Tissues
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    Chapter 37 Narrative Thought in Childhood and Adolescence Hierarchical Models of Story Composition and Interpretation
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    Chapter 38 Degrees of Similarity in Knowledge Transfer
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    Chapter 39 Formats and Languages of Knowledge: Models of Links for Learning Processes
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    Chapter 40 Pictures and Words: Analogies and Specificity in Knowledge Organization
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    Chapter 41 Emotional and Metaemotional Competence: A Developmental View